Artificial Intelligence Engineer

Role : Azure AI / ML Engineer

Hybrid position

Location : Toronto(Hybrid)

Our passion is to advance the organization by enabling Azure AI and ML capability for the enterprise to solve business problems and deliver TD products faster.

We are looking for an Azure AI / ML Engineer to deliver enterprise data services / capabilities and solutions on Azure. The perfect candidate will have previous AI / ML cloud experience delivering enterprise data solutions within financial services including knowledge of the security and regulatory requirements.

The role is focused on Azure AI and ML services.

You will work in collaboration with cloud engineering, network, security and risk management to deliver secured Azure AI and ML solutions that meet security policies and standards within TD.

You will collaborate with developers in our Azure engineering team and lines of business to implement and continuously improve the framework and tools to support self-service automation of the AI and ML services.

Roles and Responsibilities :

• Passionate about deep learning and natural language models
• AIOps / MLOps mindset enabling services and developing pipelines for managing training models and production models.
• Collaborate with internal application development teams to leverage AI / ML services to solve business objectives
• Understand security, risks and mitigations to load data and training models securely into Cloud
• Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
• Write and use Azure RM and Terraform templates
• Understand Azure security features (data protection, authentication, RBAC, etc)
• Understanding of Public Key Infrastructure (PKI), handling public key and private key certificates in Azure environment for Paas services and applications
• Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, routing
• Proficiency in cloud automation using native Azure CLI
• Understand concepts related to deploying platform and data analytics via CI / CD pipeline
• Ensure that all cloud solutions follow internally defined security and compliance controls
• Develop / Consume APIs, SDKs and Webhook for multi-directional integration of cloud orchestration platform with enterprise systems, DevOps Tools and cloud platforms
• Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes
• A critical thinker with strong research and analytics skills
• Self-motivated with a positive attitude and an ability to work independently and in a team

Required Skills :

• 2+ years AI and ML platform engineer
• 2+ years of experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
• Strong expertise with delivering Cloud Infrastructure As Code (IAC) leveraging CI / CD pipelines, Terraform and Git Actions.
• Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
• Must be a self-starter, demonstrated ability to take independent action to achieve results.
• Highly developed critical thinking, analytical and problem solving skills
8 days ago